Philosophical and Ethical Foundations of Systems Thinking

Total Page:16

File Type:pdf, Size:1020Kb

Philosophical and Ethical Foundations of Systems Thinking tripleC 3(2): 20-27, 2005 ISSN 1726-670X http://tripleC.uti.at Philosophical and Ethical Foundations of Systems Thinking Debora Hammond Hutchins School of Liberal Studies Sonoma State University 1801 E. Cotati Ave., Rohnert Park, CA 94928 USA [email protected] Abstract: Drawing on more than a decade of research thinking that engenders a different kind of practice; on the social implications of systems thinking, as well systems as philosophy cultivates an ethic of integration as practical experience in integrative, community-based and collaboration that has the potential to transform the approaches to education, this paper is an inquiry into nature of social organization. Although humanity still philosophical and ethical considerations growing out of has a lot to learn about living more harmoniously and recent developments in systems thinking. In his sustainably, systems thinking has made significant foundational work on general system theory, Ludwig contributions in this direction in many fields, both von Bertalanffy distinguishes between three general theoretical and practical. The challenge is to integrate developments in the systems field: systems technology, what we have learned, to communicate these insights to systems science, and systems philosophy. These three a larger audience, and to nurture institutional practices dimensions of systems thinking each nurture distinct that honor the ethical principles inherent in the systems and often widely divergent theoretical and practical view. orientations. In his abstract for this session, Gary Metcalf asks whether the systems approach really has Keywords: Theory and practice, relational knowledge, anything to offer. Science is a form of social feedback; interdependence, collaborative decision making it has created an enormous body of knowledge about the world and shaped humanity’s understanding of the Acknowledgement: Published with kind permission of Jaist- nature of our collective reality. Knowledge then informs Press. action. Assumptions built into scientific frameworks condition certain kinds of actions, as Bertalanffy has noted. Systems thinking as science nurtures a way of 1. Introduction Ludwig von Bertalanffy’s three categories of systems thinking – technology, science, and philosophy – provide a useful starting point for an analysis of the philosophical and ethical foundations of the systems field. Systems technology grew out of technological and administrative challenges confronting the industrial world during the second half of the twentieth century. The increasing complexity of modern technological systems, such as large-scale transportation, communication, manufacturing and energy systems, necessitated an unprecedented integration of knowledge and skills across a broad range of disciplines. The emergence of computers and the related field of information science provided a new set of analytical tools for modeling and managing this complexity. According to Bertalanffy, systems technology was limited by its primarily instrumental focus and an inherent tendency to shape human society into a kind of “megamachine.” The most important contribution of general systems theory, as he conceived it, was its emphasis on a more holistic and humanistic approach to knowledge and practice. For him, the reductionism of the mechanistic worldview, inherited from the scientific revolution of the 17th century, was responsible for the increasing dehumanization of the industrial world: “The acceptance of living beings as machines, the domination of the modern world by technology, and the mechanization of mankind are but the extension and practical application of the mechanistic coWnception” (Bertalanffy 1952). tripleC 3(2): 20-27, 2005 21 Systems science was a step in the right direction, reflecting a reorientation that Bertalanffy thought had become necessary in all sciences, from physics and biology to the behavioral and social sciences, emphasizing relationships between parts, as well as the importance of understanding any system in relation to its environment – or the larger system within which it exists and is itself part of a larger whole. Growing out of this shift in emphasis toward a more relational way of understanding reality, systems philosophy reflects a parallel reorientation in worldview. In contrast with the mechanistic, analytic, and linear causal paradigm of classical science, Bertalanffy proposed general system theory as a new philosophy of nature that is holistic, ecological, and integrative, emphasizing the organized nature of the world. In an early article on “General Systems Theory,” he suggests, “possibly the model of the world as a great organization can help to reinforce the sense of reverence for the living which we have almost lost” (Bertalanffy 1955). Systems philosophy begins with the fundamental questions of ontology and epistemology – what is the nature of reality and how do we know, i.e. what is the nature of our knowledge about reality? Following closely on these first two questions is the perhaps more important one: how shall we act? 2. Systems Ontology Bertalanffy’s suggestion, that viewing the world as an organized whole would foster a sense of reverence for the living, provides a starting point for an inquiry into these questions. Thirty years before the publication of James Lovelock’s (1982) Gaia hypothesis, Bertalanffy wrote that the whole of life on earth could be seen as the highest level of organization, noting that “the stream of life is maintained only in continuous flow of matter through all groups of organisms,” and “biological communities are systems of interacting components and thus display characteristic properties of systems, such as mutual interdependence, self-regulation, adaptation to disturbances, approach to states of equilibrium, etc.” (Bertalanffy 1952) From a systems perspective, then, reality is seen in terms of organization and interdependence, highlighting patterns of relationship between the various parts of a system. 2.1. The Mechanistic Worldview For Bertalanffy, general system theory was a radical departure from the mechanistic paradigm inherited from the Scientific Revolution of the 17th century. The foundation for the ontology of the modern era can be traced to the revolutionary insights of such figures as Galileo, Descartes, and Newton. And while it is important to acknowledge that these insights have led to enormous technological progress, giving humankind an unprecedented mastery of nature, Bertalanffy, like many others before and since, argued that the worldview they reinforced led to an impoverished view of humanity and, ultimately, a diminished quality of life. Indeed, the scientific method, as elaborated in Galileo’s work, explicitly eliminates any consideration of qualities, which are considered of secondary and only peripheral importance in contrast to the quantifiable dimensions, such as volume, mass, energy, and time. Newton’s laws provided a structural framework for the modern Western worldview. While they describe the forces governing the interaction of particles, they foster a view of nature as mechanistic, materialistic, and subject to deterministic, linear causality. This orientation tended to reinforce increasingly individualistic conceptions of identity and motivation, reflected in Adam Smith’s Wealth of Nations, which laid the theoretical foundations of capitalism (and was directly inspired by Newtonian physics), as well as Charles Darwin’s theory of evolution through natural selection. The kind of interaction portrayed in the Newtonian universe tended to foreground the individual, whether particle or person, in isolation, as separate and distinct from the entire web of relations within which it was embedded. And Newton’s universe was built upon the philosophical foundation laid by Descartes, through his radical separation of mind and body, and his emphasis on an analytical and reductionist approach to understanding the phenomenal world. 2.2. Challenges of the Twentieth Century tripleC 3(2): 20-27, 2005 22 Of course, scientific discoveries of the early twentieth century began to slowly chip away at the Newtonian edifice. Einstein’s theory of relativity demonstrated that matter and energy were two forms of the same thing, and that space and time were no longer absolute, but instead dependent upon the location of the observer in the complex geometry of space-time. Discoveries in quantum mechanics shifted the focus from the isolated atom to the hidden web of connections between particles at the sub- atomic level, which David Bohm has described as the “implicate order” (Bohm 1980). Undermining the pretense of scientific objectivity, Heisenberg’s uncertainty principle highlighted the active role of the observer as itself a factor in the scientific process, suggesting that the very act of observing a system could potentially alter the state of the system being observed. Information emerged as a phenomenon distinct from matter/energy, embedded in the dynamic processes that give rise to complex patterns of organization. And, finally, the emphasis on understanding the relationship between organism and environment, central to Darwinian evolution, nurtured the emergence of the relatively new field of ecology, which Paul Shepard has referred to as “the subversive science” (Shepard 1969). All of these developments underscore the significance of interconnectedness and interdependence, as well as the critical role of organizing relations. Growing out of this gradual shift in orientation, systems theory emerged
Recommended publications
  • Systems Thinking: Managing Chaos and Complexity This Page Intentionally Left Blank Systems Thinking: Managing Chaos and Complexity
    Systems Thinking: Managing Chaos and Complexity This Page Intentionally Left Blank Systems Thinking: Managing Chaos and Complexity A Platform for Designing Business Architecture SECOND EDITION Jamshid Gharajedaghi AMSTERDAM • BOSTON • HEIDELBERG • LONDON NEW YORK • OXFORD • PARIS • SAN DIEGO SAN FRANCISCO • SINGAPORE • SYDNEY • TOKYO Butterworth-Heinemann is an imprint of Elsevier Butterworth-Heinemann is an imprint of Elsevier 30 Corporate Drive, Suite 400, Burlington, MA 01803, USA 525 B Street, Suite 1900, San Diego, California 92101-4495, USA 84 Theobald's Road, London WC1X 8RR, UK This book is printed on acid-free paper. Copyright © 2006, Elsevier Inc. All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Permissions may be sought directly from Elsevier’s Science & Technology Rights Department in Oxford, UK: phone: (+44) 1865 843830, fax: (+44) 1865 853333, E-mail: [email protected]. You may also complete your request on-line via the Elsevier homepage (http://elsevier.com), by selecting “Support & Contact” then “Copyright and Permission” and then “Obtaining Permissions.” Library of Congress Cataloging-in-Publication Data Gharajedaghi, Jamshid. Systems thinking : managing chaos and complexity : a platform for designing business architecture / Jamshid Gharajedaghi. p. cm. Includes bibliographical references and index. ISBN 0-7506-7163-7 (alk. paper) 1. System analysis. 2. Chaotic behavior in systems. 3. Industrial management. 4. Technological complexity. I. Title. T57.6.G52 1999 003—dc21 98-55939 British Library Cataloguing-in-Publication Data A catalogue record for this book is available from the British Library.
    [Show full text]
  • Topological Aspects of Biosemiotics
    tripleC 5(2): 49-63, 2007 ISSN 1726-670X http://tripleC.uti.at Topological Aspects of Biosemiotics Rainer E. Zimmermann IAG Philosophische Grundlagenprobleme, U Kassel / Clare Hall, UK – Cambridge / Lehrgebiet Philosophie, FB 13 AW, FH Muenchen, Lothstr. 34, D – 80335 München E-mail: [email protected] Abstract: According to recent work of Bounias and Bonaly cal terms with a view to the biosemiotic consequences. As this (2000), there is a close relationship between the conceptualiza- approach fits naturally into the Kassel programme of investigat- tion of biological life and mathematical conceptualization such ing the relationship between the cognitive perceiving of the that both of them co-depend on each other when discussing world and its communicative modeling (Zimmermann 2004a, preliminary conditions for properties of biosystems. More pre- 2005b), it is found that topology as formal nucleus of spatial cisely, such properties can be realized only, if the space of modeling is more than relevant for the understanding of repre- orbits of members of some topological space X by the set of senting and co-creating the world as it is cognitively perceived functions governing the interactions of these members is com- and communicated in its design. Also, its implications may well pact and complete. This result has important consequences for serve the theoretical (top-down) foundation of biosemiotics the maximization of complementarity in habitat occupation as itself. well as for the reciprocal contributions of sub(eco)systems with respect
    [Show full text]
  • The Social System of Systems Intelligence – a Study Based on Search Engine Method
    In Essays on Systems Intelligence, eds. Raimo P. Hämäläinen and Esa Saarinen: pp. 119-133 Espoo: Aalto University, School of Science and Technology, Systems Analysis Laboratory Chapter 5 The Social System of Systems Intelligence – A Study Based on Search Engine Method Kalevi Kilkki This essay offers an preliminary study on systems intelligence as a social system based on four cornerstones: writings using the terminology of systems intelligence, search engines, models to describe the behavior of social phenomena, and a theory of social systems. As a result we provide an illustration of systems intelligence field as a network of key persons. The main conclusion is that the most promising area for systems intelligence as social system is to systematically apply positive psychology to develop organizational management and to solve our everyday problems. Introduction The social system of systems intelligence is an ambitious topic, particularly for a person without any formal studies in sociology. Moreover, systems intelligence is a novel area of science and, hence, the development of its social structures is in early phase. It is even possible to argue that there is not yet any social system of systems intelligence. The approach of this study is based on four cornerstones: first, the literature that has used concept of systems intelligence, second, search engines, third, models to describe the behavior of social phenomena, and forth, a theory of social systems. As a result we may be able to say something novel about the development of systems intelligence as a social system. As to the social systems this essay relies on the grand theory developed by Niklas Luhmann (Luhmann 1995).
    [Show full text]
  • Consciousness and Its Evolution: from a Human Being to a Post-Human
    Uniwersytet Marii Curie-Skłodowskiej w Lublinie Wydział Filozofii i Socjologii Taras Handziy Consciousness and Its Evolution: From a Human Being to a Post-Human Rozprawa doktorska napisana pod kierunkiem dr hab. Zbysława Muszyńskiego, prof. nadzw. UMCS Lublin 2014 Table of Contents Introduction ………………………………………………………………………………………. 8 Chapter 1: Consciousness, Mind, and Body …………………………………………………… 18 1.1 Conceptions of Consciousness …………………………………………………………. 18 1.1.1 Colin McGinn’s Conception of Consciousness ……………………………………….... 18 1.1.1.1 Owen Flanagan’s Analysis of Colin McGinn’s Conception of Consciousness ….…….. 20 1.1.2 Paola Zizzi’s Conception of Consciousness ………………………………………….… 21 1.1.3 William James’ Stream of Consciousness ……………………………………………… 22 1.1.4 Ervin Laszlo’s Conception of Consciousness …………………………………………... 22 1.2 Consciousness and Soul ………………………………………...………………………. 24 1.3 Problems in Definition of Consciousness ………………………………………………. 24 1.4 Distinctions between Consciousness and Mind ………………………………………... 25 1.5 Problems in Definition of Mind ………………………………………………………… 26 1.6 Dogmatism in Mind and Mind without Dogmatism ……………………………………. 27 1.6.1 Dogmatism in Mind …………………………………………………………………….. 27 1.6.2 Mind without Dogmatism …………………………………………………………….… 28 1.6.3 Rupert Sheldrake’s Dogmatism in Science …………………………………………….. 29 1.7 Criticism of Scientific Approaches towards Study of Mind ……………….…………… 30 1.8 Conceptions of Mind …………………………………………………………………… 31 1.8.1 Rupert Sheldrake’s Conception of Extended Mind …………………………………….. 31 1.8.2 Colin McGinns’s Knowing and Willing Halves of Mind ……………………………..... 34 1.8.3 Francisco Varela’s, Evan Thompson’s, and Eleanor Rosch’s Embodied Mind ………... 35 1.8.4 Andy Clark’s Extended Mind …………………………………………………………... 35 1.8.5 Role of Mind Understood by Paola Zizzi ………………………………………………. 36 1.9 Mind in Buddhism, Consciousness in Tibetan Buddhism ……………………………… 36 1.9.1 Mind in Buddhism ……………………………………………………………………… 36 1.9.2 B.
    [Show full text]
  • General Systems Theory
    General Systems Theory Prepared by: Kenneth R. Thompson Head Researcher System-Predictive Technologies © Copyright 1996 to 2016 by Kenneth R. Thompson, System-Predictive Technologies, 2096 Elmore Avenue, Columbus, Ohio 43224-5019; All rights reserved. Intellectual materials contained herein may not be copied or summarized without written permission from the author. General Systems Theory Page 2 of 10 General Systems Theory General Systems Theory Background Summary In the 1920’s, Ludwig von Bertalanffy envisioned a General Systems Theory1. As a biologist, von Bertalanffy was concerned with behavioral and intentional systems. He clearly stated the mathematical foundations of his theory in his report “The History and Status of General Systems Theory”2: The goal obviously is to develop general systems theory in mathematical terms – a logico-mathematical field – because mathematics is the exact language permitting rigorous deductions and confirmation (or refusal) of theory. In the 1960’s, there were two major independent efforts made relating to developments in General Systems Theory. One was by the engineer and mathematician Mihajlo D. Mesarović, and the other was by the philosopher Elizabeth Steiner and the historian and mathematician George S. Maccia. The developments by Mesarović were more restrictive and in line with traditional developments of engineering models simulating various intentional systems, while the developments by Steiner and Maccia were more comprehensive and provided the first formalization of a Scientific Education Theory derived from General Systems Theory. Mesarović’s work, however, did lead to critical developments in mathematical models of General Systems; however, such characterizations were restricted to systems represented by a single relation.3 A true mathematical analysis of General Systems Theory requires the ability to recognize multiple relations for one system.
    [Show full text]
  • 1 Umpleby Stuart Reconsidering Cybernetics
    UMPLEBY STUART RECONSIDERING CYBERNETICS The field of cybernetics attracted great attention in the 1950s and 1960s with its prediction of a Second Industrial Revolution due to computer technology. In recent years few people in the US have heard of cybernetics (Umpleby, 2015a, see Figures 1 and 2 at the end of Paper). But a wave of recent books suggests that interest in cybernetics is returning (Umpleby and Hughes, 2016, see Figure at the end of Paper). This white paper reviews some basic ideas in cybernetics. I recommend these and other ideas as a resource for better understanding and modeling of social systems, including threat and response dynamics. Some may claim that whatever was useful has already been incorporated in current work generally falling under the complexity label, but that is not the case. Work in cybernetics has continued with notable contributions in recent years. Systems science, complex systems, and cybernetics are three largely independent fields with their own associations, journals and conferences (Umpleby, 2017). Four types of descriptions used in social science After working in social science and systems science for many years I realized that different academic disciplines use different basic elements. Economists use measurable variables such as price, savings, GDP, imports and exports. Psychologists focus on ideas, concepts and attitudes. Sociologists and political scientists focus on groups, organizations, and coalitions. Historians and legal scholars emphasize events and procedures. People trained in different disciplines construct different narratives using these basic elements. One way to reveal more of the variety in a social system is to create at least four descriptions – one each using variables, ideas, groups, and events (See the figures and tables in Medvedeva & Umpleby, 2015).
    [Show full text]
  • A Systems Inquiry Into Organizational Learning for Higher Education
    A SYSTEMS INQUIRY INTO ORGANIZATIONAL LEARNING FOR HIGHER EDUCATION by M Victoria Liptak B.A. (University of California, Santa Cruz) 1985 M.Arch. (Southern California Institute of Architecture) 1994 A dissertation submitted in partial fulfillment of the requirements for the degree of Doctorate in Educational Leadership (CODEL) California State University Channel Islands California State University, Fresno 2019 ii M Victoria Liptak May 2019 Educational Leadership A SYSTEMS INQUIRY INTO ORGANIZATIONAL LEARNING FOR HIGHER EDUCATION Abstract This study took an applied systems design approach to investigating social organizations in order to develop a synthetic perspective, one that supports pragmatism’s focus on consequent phenomena. As a case study of reaffirmation processes for four 4-year institutions and their accreditor, WSCUC, it looked for evidence of organizational learning in the related higher education systems of institutions and regional accrediting agencies. It used written documents as evidence of the extended discourse that is the reaffirmation of accreditation process. The documents were analyzed from a set of three perspectives in an effort to build a fuller understanding of the organizations. A structural analysis perspective looked for structural qualities within the discourse and its elements. A categorical analysis perspective considered the evidence of organizational learning that could be found by reviewing the set of documents produced by both WSCUC and the institution as part of the reaffirmation process. The review applied categorical frames adapted from the core strategies identified in Kezar and Eckel (2002b), the five disciplines proposed by Senge (2006), and the six activities identified in Dill (1999). It looked for relationships and interdependencies developed in the content within and between documents.
    [Show full text]
  • Download Download
    Participatory Knowing: A Story-Centered Approach to Human Systems Jack Petranker Center for Creative Inquiry, 2425 Hillside Avenue, Berkeley, CA 94704, USA [email protected] Abstract The tendency of systems approaches to rely on and look for causal explanations creates problems for democratic practice. Causal analysis must generalize and thus assign fixed identities, which inevitably encourages viewing society in terms of competing interest groups whose conflicting goals move them inexorably toward conflict. A second problem with reliance on causality is the sheer complexity of causal analysis of complex social systems, which gives the expert analyst enjoys a claim to superior knowledge and de facto authority over community members. An alternative to causal analysis is to approach systems in ‘story-centered’ terms. Treating the story that the individual or collective ‘inhabits’ as the relevant system for analysis counters the anti-democratic tendencies identified above. Since stories—understood as such—are fluid and shifting, it becomes less natural to define individuals by their interests and identities; in turn, this encourages community participants to engage other community members as cohabitants rather than adversaries. And since story-inhabitants are better equipped than the expert to investigate the story within which they live and act, the authority of the expert is correspondingly reduced. Of the many levels at which story-centric analysis can proceed, a focus on the systemic nature of the environing story is especially appropriate to the needs of today’s complex and heterogeneous democracies. To engage the story at this level allows for honoring multiple stories in society without focusing exclusive at the level of story content, thus creating a foundation for dialog and shared inquiry even among those who inhabit widely varying story-worlds.
    [Show full text]
  • Conservation Psychology
    COMMUNITY ORGANIZING FOR WATERSHED RESTORATION: The Cotati Creek Critters Outreach Program by Jenny Blaker A project submitted to Sonoma State University in partial fulfillment of the requirements for the degree of MASTER OF ARTS in Interdisciplinary Studies : Conservation Psychology May 2006 COMMUNITY ORGANIZING FOR WATERSHED RESTORATION The Cotati Creek Critters Outreach Program by Jenny Blaker A project submitted to Sonoma State University in partial fulfillment of the requirements for the degree of MASTER OF ARTS in Interdisciplinary Studies : Conservation Psychology _______________________________________ Dr. Debora Hammond, Chair _______________________________________ Dr. Ardath Lee _______________________________________ Dr. Anna Warwick Sears _______________________________________ Date i Copyright 2006 By Jenny Blaker ii AUTHORIZATION FOR REPRODUCTION OF MASTER’S PROJECT Reproduction of this project is permitted with the condition that credit be given to the author. DATE:_______________________________ _______________________________ Signature _______________________________ Street Address _______________________________ City, State, Zip iii COMMUNITY ORGANIZING FOR WATERSHED RESTORATION The Cotati Creek Critters Outreach Program Project by Jenny Blaker ABSTRACT The Cotati Creek Critters is a watershed group conducting a habitat restoration project along the Laguna de Santa Rosa in Cotati. In June 2005 the group was awarded an Urban Stream Restoration grant from the California Department of Water Resources to involve the local community in planting 2,000 native trees and shrubs along the Laguna de Santa Rosa in Cotati over a two year period. The purpose of the Outreach Program is to recruit volunteers for the planting project and to foster a sense of stewardship in the local community by raising awareness of related issues in the Cotati area. This project embodies the intent of Conservation Psychology to understand and encourage behavior that promotes environmental sustainability.
    [Show full text]
  • 82 Chapter IV Niklas Luhmann's Communicative Systems Theory
    Chapter IV Niklas Luhmann’s Communicative Systems Theory Framework With his concentrated formulations in Ecological Communication (1989), Luhmann deals with ecological communication far more directly than Bateson. In principle, that must make it easier to introduce his framework, especially given the additional facility his highly systematic approach to both writing and composing was supposed to impart. In reality, however, it is no less difficult introducing Luhmann in the current context because of the following factors: One, he has been no less lucky than was Bateson at having been “discovered” and had his general thought introduced by the excellent introducers to his individual books that have been translated into English.1 Two, the temptation to introduce Luhmann’s overall social theory, instead of focusing strictly on his theory of EC, is enormous: The temptation is only transformed into a treacherous pressure because of his systematic style of writing and conceptualization in which each one of his individual philosophical forays is to a great extent a specific replay of his overall philosophy. For example, his theory of EC is, in most ways, a tightly- designed and shortened localization of his larger philosophy of social systems. Three, and in relation to the above, it is also very tempting to introduce the history of systems theory as a whole (part of which I have done already in the earlier part of this essay), make a comprehensive gesture at placing Luhmann’s particular interventions within it (constitutive of his overall systems philosophy), and then to place his theory of EC within the above two. And, four, Luhmann’s work is highly self-referential, obtuse, abstract, and frightfully repetitive! What follows below does not completely resolve the above technical difficulties of introducing—some of which translate, on the whole, into the age-old problem of detecting and managing avoidable detail.
    [Show full text]
  • What Is Systems Theory?
    What is Systems Theory? Systems theory is an interdisciplinary theory about the nature of complex systems in nature, society, and science, and is a framework by which one can investigate and/or describe any group of objects that work together to produce some result. This could be a single organism, any organization or society, or any electro-mechanical or informational artifact. As a technical and general academic area of study it predominantly refers to the science of systems that resulted from Bertalanffy's General System Theory (GST), among others, in initiating what became a project of systems research and practice. Systems theoretical approaches were later appropriated in other fields, such as in the structural functionalist sociology of Talcott Parsons and Niklas Luhmann . Contents - 1 Overview - 2 History - 3 Developments in system theories - 3.1 General systems research and systems inquiry - 3.2 Cybernetics - 3.3 Complex adaptive systems - 4 Applications of system theories - 4.1 Living systems theory - 4.2 Organizational theory - 4.3 Software and computing - 4.4 Sociology and Sociocybernetics - 4.5 System dynamics - 4.6 Systems engineering - 4.7 Systems psychology - 5 See also - 6 References - 7 Further reading - 8 External links - 9 Organisations // Overview 1 / 20 What is Systems Theory? Margaret Mead was an influential figure in systems theory. Contemporary ideas from systems theory have grown with diversified areas, exemplified by the work of Béla H. Bánáthy, ecological systems with Howard T. Odum, Eugene Odum and Fritj of Capra , organizational theory and management with individuals such as Peter Senge , interdisciplinary study with areas like Human Resource Development from the work of Richard A.
    [Show full text]
  • Strategy+Business Issue 40 Works on His Most Ambitious Computer Model: a General Such Complacency
    strate gy+business The Prophet of Unintended Consequences by Lawrence M. Fisher from strate gy+business issue 40, Autumn 2005 reprint number 05308 Reprint f e a t u r e s The Prophet of t h e c r e a t i v e m Unintended i n d Consequences 1 by Lawrence M. Fisher Jay Forrester’s computer models show the nonlinear roots of calamity and reveal the leverage that can help us avoid it. Photographs by Steve Edson d n i m e v i t a e r c e h t s e r u t a e 2 f Lawrence M. Fisher ([email protected]), a contributing editor to strategy+ business, covered technology for the New York Times for 15 years and has written for dozens of other business publications. Mr. Fisher is based in San Francisco. A visitor traveling from Boston to Jay Forrester’s maintain its current weight, producing cravings for fat- f home in the Concord woods must drive by Walden tening food. Similarly, a corporate reorganization, how- e a Pond, where the most influential iconoclast of American ever well designed, tends to provoke resistance as t u r literature spent an insightful couple of years. Jay employees circumvent the new hierarchy to hang on to e s Forrester, the Germeshausen Professor Emeritus of their old ways. To Professor Forrester, these kinds of dis- t h e Management at the Massachusetts Institute of Tech- comfiting phenomena are innate qualities of systems, c nology’s Sloan School of Management, also has a repu- and they routinely occur when people try to instill ben- r e a tation as an influential and controversial iconoclast, at eficial change.
    [Show full text]